[nltk_data] Downloading package stopwords to /root/nltk_data... [nltk_data] Package stopwords is already up-to-date!
This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.
Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.
The ten highest rated contributions for this round were the following:
| Avg. score | To | Reason |
|---|---|---|
| 82.0 | kristofer#1475 | for creating one of the best community-centric reward systems out there: Praise |
| 61.5 | Griff 🔥AFK till Sept 15🔥#8888 | No one really knows how much you do behind the scenes. I only have a small window and even that requires superhuman effort. Thank you for all the calls you take with me at your 5 or 5:30am, Griff. |
| 59.33 | mattyjee#8621 | for creating one of the best community-centric reward systems out there: Praise |
| 59.33 | iviangita#3204 | for always, without fail, updating the Sprint planning and retrospective agendas and the Sprint Retrosepctive board on Miro! Your reliability is pure gold. Sprint after Sprint .... and we're on 37 Sprints now!! |
| 55.0 | r-x-x#8344 | for many, many hours of work building out a unified treasury chart that shows all of the various funds held in the commons pool, LaserTag multisig and working groups. This was a huge lift and it's now integrated into the Dune dashboard. A valuable contribution to the transparency of the TEC and understanding our true financial state |
| 55.0 | Nuggan#5183 | for their continued work on structuring the new RAD tool for analysing and distributing rewards |
| 53.03 | Nebs#2035 | for creating one of the best community-centric reward systems out there: Praise |
| 50.67 | kristofer#1475 | for their development updates to the praise dashboard, including keyword filters and the ability to replace active quantifiers! |
| 48.0 | zhiwei#1356 | for the HUGE update on the cross-period analysis graphs in the RAD tool, which allows us to cross analyze quantifer trends and categories in the TEC |
| 37.37 | mattyjee#8621 | for turning the praise application into something that other communities are very interested in. Gnosis x Praise 🚀 |
We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.
We can also take a look at the amount of praise different users gave.
Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.
Now let's take a closer look at the quantification process and the quantifiers:
To aid the revision process, we highlight disagreements between quantifiers.
This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.
Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .
Let's see how different quantifiers behaved by showing the range of praise scores they gave.
To interpret the box plot:
Bottom horizontal line of box plot is minimum value
First horizontal line of rectangle shape of box plot is First quartile or 25%
Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.
Third horizontal line of rectangle shape of box plot is third quartile or 75%
Top horizontal line of rectangle shape of box plot is maximum value.
Among 234 praises, 21 (8.97%) do not agree on duplication
Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.
Among 234 praises, 16 (6.84%) do not agree on dismissal
Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.